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qsiprep builds workflows for preprocessing and reconstructing q-space images

Project description

qsiprep borrows heavily from FMRIPREP to build workflows for preprocessing q-space images such as Diffusion Spectrum Images (DSI), multi-shell HARDI and compressed sensing DSI (CS-DSI). It utilizes Dipy and ANTs to implement a novel high-b-value head motion correction approach using q-space methods such as 3dSHORE to iteratively generate head motion target images for each gradient direction and strength.

Since qsiprep uses the FMRIPREP workflow-building strategy, it can also generate methods boilerplate and quality-check figures.

Users can also reconstruct orientation distribution functions (ODFs), fiber orientation distributions (FODs) and perform tractography, estimate anisotropy scalars and connectivity estimation using a combination of Dipy, MRTrix and DSI Studio using a JSON-based pipeline specification.

[Documentation qsiprep.org]

Project details


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